Identification of evasive manoeuvres in traffic interactions and conflicts




collision course, evasive action, evasive manoeuvre, motion prediction, near-misses, Surrogate Measures of Safety (SMoS), Time-to-Accident (TA), Time-to-Collision (TTC), traffic conflicts


The study presents a simple and easy to implement method for detection of the evasive action start in traffic interactions. The method is based on comparison of the studied trajectory with a reference set of ‘unhindered’ trajectories, interpreting the start of evasive action as the moment when no more similarities can be found. The suggested algorithm performs well for primary interactions when road users arrive in an unhindered state. It fails, however, in case of secondary interactions. Explorative application of the method on a large dataset of normal and conflict traffic situations concludes that traffic conflicts occur more frequently in secondary interactions, presumably due to higher cognitive load on the involved road users. Despite the limitations, the method can be used both for the safety studies based on traffic conflicts and for more general quantification and visualisation of the road user behaviour.


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Author Biographies

Carl Johnsson, Lund University, Sweden

Carl Johnsson is a postdoctoral researcher in traffic safety at Lund University, Sweden. His research includes proactive safety evaluation of traffic situations using mostly observations made from video with a particular focus on vulnerable road users. Other research interest includes working with developing technologies for behavioural data collection such as mobility analysis of public areas using drones and behavioural studies using virtual reality simulation.

CRediT statement: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Validation, Visualization, Writing—original draft

Aliaksei Laureshyn, Lund University, Sweden

Aliaksei Laureshyn is a reader in traffic safety at Lund University, Sweden. His primary research interests deal with theory and practical use of pro-active methods in road safety analysis. He is an active member in several international committees and working groups related to the subject of Surrogate Measures of Safety (SMoS). Other research interests include emerging technologies for data collection in traffic, and policy and practice in road safety work, particularly in the view of Vision Zero/Safe System paradigm.

CRediT statement: Conceptualization, Funding acquisition, Project administration, Resources, Software, Supervision, Writing—review & editing


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How to Cite

Johnsson, C., & Laureshyn, A. (2022). Identification of evasive manoeuvres in traffic interactions and conflicts. Traffic Safety Research, 3, 000012.

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